The impact of artificial intelligence on traditional Chinese medicine
Y Wang, X Shi, L Li, T Efferth… - The American journal of …, 2021 - World Scientific
Traditional Chinese Medicine (TCM) is a well-established medical system with a long
history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including …
history. Currently, artificial intelligence (AI) is rapidly expanding in many fields including …
Ultra elastic, stretchable, self-healing conductive hydrogels with tunable optical properties for highly sensitive soft electronic sensors
Conductive hydrogels are of great significance for soft electronic devices. However, the
intrinsically weak nature, lack of fatigue resistance and self-healing capability, and the …
intrinsically weak nature, lack of fatigue resistance and self-healing capability, and the …
Advances in the application of traditional chinese medicine using artificial intelligence: a review
S Zhang, W Wang, X Pi, Z He, H Liu - The American journal of …, 2023 - World Scientific
Traditional Chinese medicine (TCM), as one of the crystallizations of Chinese wisdom,
emphasizes the balance of Yin and Yang to keep the body healthy. Under the theoretical …
emphasizes the balance of Yin and Yang to keep the body healthy. Under the theoretical …
Advances in patient classification for traditional Chinese medicine: a machine learning perspective
C Zhao, GZ Li, C Wang, J Niu - … ‐Based Complementary and …, 2015 - Wiley Online Library
As a complementary and alternative medicine in medical field, traditional Chinese medicine
(TCM) has drawn great attention in the domestic field and overseas. In practice, TCM …
(TCM) has drawn great attention in the domestic field and overseas. In practice, TCM …
Pulse-wave-pattern classification with a convolutional neural network
Owing to the diversity of pulse-wave morphology, pulse-based diagnosis is difficult,
especially pulse-wave-pattern classification (PWPC). A powerful method for PWPC is a …
especially pulse-wave-pattern classification (PWPC). A powerful method for PWPC is a …
An objective review of the technological developments for radial pulse diagnosis in Traditional Chinese Medicine
R Velik - European Journal of Integrative Medicine, 2015 - Elsevier
Introduction Pulse palpation is an important diagnostic tool in Traditional Chinese Medicine
(TCM) and related Oriental medicine systems. However, mastering pulse diagnosis requires …
(TCM) and related Oriental medicine systems. However, mastering pulse diagnosis requires …
Supervised learning methods for pathological arterial pulse wave differentiation: a SVM and neural networks approach
Objective The main goal of this study was to develop an automatic method based on
supervised learning methods, able to distinguish healthy from pathologic arterial pulse wave …
supervised learning methods, able to distinguish healthy from pathologic arterial pulse wave …
The influence of global constraints on similarity measures for time-series databases
A time series consists of a series of values or events obtained over repeated measurements
in time. Analysis of time series represents an important tool in many application areas, such …
in time. Analysis of time series represents an important tool in many application areas, such …
Radial artery pulse wave age-related assessment for diabetic patients based on multiple linear regression time domain analysis method
B Li, Y Lu, X Sun, X Chen, W Gong, F Miao - Extreme Mechanics Letters, 2024 - Elsevier
The global incidence of diabetes increases yearly. About 10% of adults are affected. This
study established a multiple linear regression (MLR) time domain analysis model of radial …
study established a multiple linear regression (MLR) time domain analysis model of radial …
[HTML][HTML] Ensemble learning-based pulse signal recognition: classification model development study
J Yan, X Cai, S Chen, R Guo, H Yan… - JMIR Medical …, 2021 - medinform.jmir.org
Background In pulse signal analysis and identification, time domain and time frequency
domain analysis methods can obtain interpretable structured data and build classification …
domain analysis methods can obtain interpretable structured data and build classification …